class_docstr: Feature loader that load external features store in certain format. 
  Currently support pickle, npy and npz format.
docstr: Feature loader
docstr_tok: ["Feature","loader"]
code: def __init__(
      self,
      augmentor: Optional[
          "nemo.collections.asr.parts.perturb.FeatureAugmentor"
      ] = None,
  ):
      """
      Feature loader
      """
      self.augmentor = augmentor
  
file_path: NeMo/nemo/collections/asr/parts/preprocessing/feature_loader.py
imports: from typing import Optional
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new ExternalFeatureLoader object from inherited base classes: object with example: obj = ExternalFeatureLoader(augmentor)